Smarter campaigns drive better results.
It all starts with your data.

Smarter campaigns drive better results.
It all starts with your data.

Most loyalty programs are bound to fail.What are you doing about customer engagement?

Most loyalty programs are bound to fail.What are you doing about customer engagement?

In today’s era of digitally savvy and millisecond attention spans, consumers have a world of options at their fingertips. Brand promiscuity has become the norm. Loyalty lasts only until a newer, better, faster or cheaper alternative comes along.

What if there’s a way to understand a consumer’s behaviour in real-time, offer them in-the-moment gamified experiences, reward and delight the customer for various interactions be it transactional and non-transactional?

Smarter campaigns drive better results. It all starts with your data.

Meet Perx Scientific™

An A.I. black box that lets you position the right product in front of the right audience at the right time.

Audience Recommendation

The Audience Recommendation feature applies machine learning algorithms to the campaigns you have built so each campaign is targeted at the most relevant individuals to ensure the highest engagement rates.

Perx Audience recommendation goes beyond the norm by allowing you to enrich the Perx tracked data with other data sets you have, whether online or offline such as web, SEO, social, etc to build out a more indepth single overview of your customer and then use that enriched data to not only increase ROI within the Perx platform but through your other engagement channels.

Reward Recommendation

The Reward Recommendation module allows you to select the demographic fields of the audience you would like to target and applies machine learning algorithms to it to recommend the rewards most engaging for them. Very similar to Audience recommendation, this is a reverse mechanism where for the first time as marketers you get to select the right product for your audience.

Reward recommendation helps markets when they are venturing into uncharted markets for the first time where less knowledge of product/service affinity to audience segment is known and the answer lies only in unsiphonable raw data.